Uber

Staff Machine Learning Engineer - Uber AI Solutions

Uber$232K — $258K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or equivalent experience in Computer Science, Machine Learning, Engineering, Mathematics, or related discipline.
  • 5+ years of experience designing, building, and operating production ML systems with strong backend engineering capabilities.
  • Proven track record of driving business impact by owning products or product lines to enhance metrics like revenue and customer value.
  • Fluency in Python for machine learning and experience with a production language like Go, Java, or C++, capable of building reliable services.
  • Ability to thrive in ambiguous situations, identifying high-value problems and driving initiatives proactively.
  • Strong communication skills to align customers and teams around business growth strategies.

Responsibilities

  • Build ML and backend systems to deliver profitable products to customers.
  • Own product verticals, identifying opportunities and driving relevant business metrics.
  • Prioritize tasks effectively to turn ideas into revenue-generating products promptly.
  • Serve as a trusted technical partner to customers, leveraging insights to expand accounts.
  • Enhance execution and quality standards to enable business scalability.

Benefits

  • Participation in a bonus program
  • Eligibility for equity awards and additional compensation types
  • Access to a 401(k) plan
  • Various employee benefits offered.
Full Job Description
Job Description

What You'll Do
  • Build the ML and backend systems that turn your vision into a product customers pay for and rely on, going as deep as the problem requires.
  • Own your vertical end to end: find the opportunities, set the direction, and drive the business metrics that matter, such as revenue, adoption, and customer value.
  • Move fast in ambiguity: prioritize ruthlessly, make the calls, and turn ideas into shipped, revenue generating products with a product manager and a small senior team.
  • Be a trusted technical partner in the customer relationship where relevant, using what you learn to grow the account.
  • Raise the bar on execution and quality so your business can scale.


Basic Qualifications
  • Bachelor's or equivalent work experience in Computer Science, Machine Learning, Engineering, Mathematics, or a related discipline.
  • 5+ years of professional experience designing, building, and operating production ML systems, including strong backend engineering across the full path from data to serving.
  • Track record of driving business impact, not just shipping features: you have owned a product or product line and helped move metrics such as revenue, adoption, or customer value.
  • Fluency in Python for machine learning and a production systems language such as Go, Java, or C++, and the ability to build reliable services and run them in production.
  • Comfort operating in ambiguity and moving fast: you find the highest value problems yourself, make the call, and drive them without waiting to be told.
  • Excellent communication skills, with the ability to align customers, product, and engineering around what will grow the business.


Preferred Qualifications
  • Master's or PhD in Computer Science, Machine Learning, Engineering, Mathematics, or a related discipline.
  • You have grown a product or business line in a startup or startup like environment, owning outcomes end to end and treating revenue and customer growth as your job.
  • Experience applying machine learning to a real world data or evaluation domain, such as physical world data collection, RL environments and agentic evaluation, multilingual or audio data, or data quality and verification, where success was measured by business impact rather than model metrics alone.
  • Direct experience with GenAI and LLM systems in production, including evaluation harnesses, model tuning, forced alignment or ASR, or pipelines that keep a model in the loop.
  • Depth in one or more UAIS domains: real world and physical world data such as POI and embodied capture, agentic RL environments, multilingual and multimodal ML, video and LiDAR annotation, or physical AI and robotics data.


Responsibilities

For San Francisco, CA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.

About Uber

Uber Entertainment, Inc. is a privately held video game development company headquartered in beautiful downtown Kirkland, WA. Uber is currently developing Planetary Annihilation, a next generation real time strategy game of epic proportions.

Uber Careers

There has never been a better time to join our global team of Uber professionals—pioneers in the world of transportation and technology. Work you’ll do Join Uber’s industry-leading team to help drive forward the future of mobility and logistics for some of the world’s most dynamic cities and populations. Transform the way the world moves with the brightest minds at Uber, where innovation meets functionality to create solutions for everyday challenges. Lead from a unique position in the marketplace, at the intersection of technology, operational excellence, and user-centric design. Work with a global team of business and technology advisors to help clients and cities navigate their paths towards more efficient and sustainable urban transport solutions. Collaborate with a diverse group of Uber experts worldwide – a team dedicated to rethinking and improving the way the world moves. Introducing the Uber Innovation Hub We are building a market-leading team to pioneer advancements in transportation and logistics, ensuring Uber remains at the forefront of mobility solutions. Do innovative work Join a group of exceptional professionals where your skills in technology, leadership, and creativity can flourish. At Uber, innovation isn’t just a buzzword—it's the core of everything we do. Deliver targeted solutions through a depth and breadth of expertise and innovation that’s second to none, enhancing how cities, companies, and communities connect. Be part of a great team Engage with a wide-ranging technology stack and harness the unparalleled capabilities, global scale, and collective problem-solving skills of our diverse team. Future-proof your career Advance your career with Uber’s commitment to professional growth, offering extensive training, development, and certification support. Go as far as your ambition takes you with limitless job opportunities in a company that’s reshaping the world’s approach to transportation. Explore Uber’s approach to predictive maintenance ensures our fleet remains ready and efficient, reducing downtime and improving service reliability. Our end-to-end mobility solutions are transforming the way cities think about transportation, making Uber a key player in the future of urban mobility. The Uber Leadership and Innovation Alliance Our combined service capabilities, global scale, and joint solution development help overcome challenges and lead transformation in the transportation industry. Clients and cities around the globe look to Uber for new strategies and solutions to drive growth and innovation in the digital era. Stay connected Join Our Team Search open positions that match your skills and interest. We look for passionate, curious, creative, and solution-driven team players ready to redefine the world of mobility. SEARCH UBER JOBS Keep Up to Date Stay ahead with career tips, insider perspectives, and industry-leading insights you can put to use today—all from the people who drive at Uber. READ CAREERS BLOG Job Alert Emails Personalize your subscription to receive job alerts, latest news, and insider tips tailored to your preferences. Explore the exciting and rewarding career opportunities that await at Uber.
Learn more about Uber
Size
29,300 employees
Market Cap
$48.6 billion
Industry
Net Income
-$6.7 billion
Founded
2009
5 Year Trend
+35.3%
Revenue
$11.1 billion
NASDAQ

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